Minimax and pointwise sequential changepoint detection and identification for general stochastic models

This paper considers the problem of joint change detection and identification assuming multiple composite post-change hypotheses. We propose a multihypothesis changepoint detection-identification procedure that controls the probabilities of false alarm and wrong identification. We show that the prop...

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Bibliographic Details
Published in:Journal of multivariate analysis Vol. 190. P. 104977
Main Author: Pergamenshchikov, Serguei M.
Other Authors: Tartakovsky, Alexander G., Spivak, Valentin S.
Format: Article
Language:English
Subjects:
Online Access:http://vital.lib.tsu.ru/vital/access/manager/Repository/koha:001000951
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